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compiled model class

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This commit is contained in:
Antonin Portelli
2014-03-13 18:20:40 +00:00
parent 82abf7872a
commit 0109379dc3
8 changed files with 168 additions and 20 deletions
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16
examples/exFit.cpp
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@ -1,5 +1,6 @@
#include <iostream>
#include <cmath>
#include <latan/CompiledModel.hpp>
#include <latan/MinuitMinimizer.hpp>
#include <latan/Plot.hpp>
#include <latan/RandGen.hpp>
@ -14,12 +15,11 @@ const double exactPar[2] = {0.5,5.0}, dx = 10.0/static_cast<double>(nPoint);
int main(void)
{
// generate fake data
XYStatData data(nPoint, 1, 1);
RandGen rg;
double x_k;
auto f = [](const double x[1], const double p[2])
{return p[1]*exp(-x[0]*p[0]);};
XYStatData data(nPoint, 1, 1);
RandGen rg;
double x_k;
CompiledDoubleModel f(1, 2, "return p_1*exp(-x_0*p_0);");
for (Index k = 0; k < nPoint; ++k)
{
x_k = k*dx;
@ -31,13 +31,11 @@ int main(void)
// fit
DVec init = DVec::Constant(2, 0.5);
DoubleModel model(1, 2, f);
FitResult p;
MinuitMinimizer minimizer;
data.fitAllPoints();
p = data.fit(model, minimizer, init, true, Minimizer::Verbosity::Normal);
p = data.fit(f, minimizer, init, true, Minimizer::Verbosity::Normal);
cout << "a= " << p(0) << " b= " << p(1)
<< " chi^2/ndof= " << p.getChi2PerDof() << endl;